Artificial Intelligence is rapidly transforming every aspect of modern business, from customer service and marketing to finance, operations, innovation, supply chains, and executive decision-making. Organizations that understand how to integrate AI strategically will gain significant advantages in productivity, efficiency, customer experience, and competitive positioning. However, successful AI adoption requires much more than technical knowledge—it requires leaders who understand business strategy, human behavior, ethics, organizational change, and the evolving relationship between people and intelligent machines.
Business in the Age of AI is a practical, executive-oriented course designed to prepare Junior MBA students to lead organizations in an AI-driven economy. Rather than focusing on programming or technical engineering, the course emphasizes how executives can leverage AI to improve decision-making, redesign business models, increase operational effectiveness, foster innovation, and create sustainable competitive advantage while maintaining ethical leadership and human-centered management.
Students will explore AI strategy, business transformation, intelligent automation, data-driven decision-making, customer experience, innovation, workforce evolution, AI governance, entrepreneurship, risk management, and the future of executive leadership. Throughout the course, emphasis is placed on practical application, strategic thinking, and preparing future leaders to thrive in a world where artificial intelligence becomes an essential business partner.
Course Objectives
By the conclusion of this course, students will be able to:
• Understand the strategic implications of artificial intelligence for modern organizations.
• Evaluate how AI transforms business models, industries, and competitive dynamics.
• Apply AI concepts to improve executive decision-making and organizational performance.
• Develop strategies for integrating AI into marketing, finance, operations, and customer experience.
• Understand the opportunities and risks associated with intelligent automation.
• Lead organizational transformation driven by emerging technologies.
• Build ethical frameworks for responsible AI implementation.
• Foster innovation through collaboration between human expertise and intelligent systems.
• Develop executive leadership skills appropriate for AI-enabled organizations.
• Prepare organizations for long-term success in an increasingly intelligent economy.
